Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Biology, Cancer, Oncology, Medicine, microRNA, and Epigenetics.
Pan-cancer analyses reveal cancer-type-specific autophagy signatures with potential implications for prognosis and therapy response
Epigenetically regulated lncRNAs dissect the intratumoural heterogeneity and facilitate immune evasion of glioblastomas
Mapping enhancer and chromatin accessibility landscapes charts the regulatory network of Alzheimer's disease
Comprehensive Analysis of the Carcinogenic Process, Tumor Microenvironment, and Drug Response in HPV-Positive Cancers
Prognostic Implications and Immune Infiltration Characteristics of Chromosomal Instability-Related Dysregulated CeRNA in Lung Adenocarcinoma
The synergistic interaction landscape of chromatin regulators reveals their epigenetic regulation mechanisms across five cancer cell lines
The Functional Characterization of Epigenetically Related lncRNAs Involved in Dysregulated CeRNA–CeRNA Networks Across Eight Cancer Types
Identification of Autophagy-Associated Biomarkers and Corresponding Regulatory Factors in the Progression of Colorectal Cancer
Contributions of Gene Modules Regulated by Essential Noncoding RNA in Colon Adenocarcinoma Progression
Expression of PIWIL2 in oral cancer and leukoplakia: Prognostic implications and insights from tumors
Imaging c-Met expression using 18F-labeled binding peptide in human cancer xenografts
Detection of dysregulated competing endogenous RNA modules associated with clear cell kidney carcinoma
Prognostic implication of NOTCH1 in early stage oral squamous cell cancer with occult metastases
In situ memory T cells and patterns of invasion predict outcome in patients with early-stage oral squamous cell carcinoma
Prevalence of Diabetes and Health-Related Quality of Life among Rural-to-Urban Nong Zhuan Fei Migrants in an Urban Area of Northern China, 2013
A sensitive method for computing GO-based functional similarities among genes with ‘shallow annotation’
DBGSA: a novel method of distance-based gene set analysis